SentinelGate is an MCP proxy that intercepts and evaluates every action taken by AI agents against defined policies, providing a full audit trail and blocking unauthorized actions.
From the registry: Open-source MCP proxy for AI agent access control with CEL policies, RBAC, and audit.

$ curl -sSfL https://raw.githubusercontent.com/Sentinel-Gate/Sentinelgate/main/install.sh | shhttps://github.com/Sentinel-Gate/Sentinelgate/releasesPlease install the `sentinelgate` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **SentinelGate binary** — Install via install script or download from releases Run: `curl -sSfL https://raw.githubusercontent.com/Sentinel-Gate/Sentinelgate/main/install.sh | sh` (https://github.com/Sentinel-Gate/Sentinelgate/releases)
Canonical MCP server config (HTTP transport):
- url: `http://localhost:8080/mcp`
- headers:
- `Authorization`: `Bearer <your-api-key>`
Note: MCP security proxy: CEL-powered rules, full audit trail, PII/secrets scanning, session recording, red team testing. Single Go binary, zero dependencies. Run 'sentinel-gate start' then connect agents to http://localhost:8080/mcp.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.API_KEYrequiredUsed to authenticate agents connecting to the MCP endpoint.AI-powered threat hunting and incident response MCP server for Elasticsearch/OpenSearch